Use Case
Spark Engineer is a powerful AI agent skill that extends your assistant with new capabilities. Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics. This guide walks you through installing Spark Engineer, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Spark Engineer: npx clawhub@latest --dir ~/.claude/skills install spark-engineer
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Spark Engineer
Review the output and refine your prompt for better results
Combine Spark Engineer with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Spark Engineer
Help me get started with Spark Engineer
What can Spark Engineer do for my data & analytics workflow?
Show me an example of using Spark Engineer
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install spark-engineerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install spark-engineerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/spark-engineer/π‘Extract and place the folder at the path above, then restart your agent.